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  • Title: The changing incidence of human papillomavirus-associated oropharyngeal cancer using multiple imputation from 2000 to 2010 at a Comprehensive Cancer Centre.
    Author: Habbous S, Chu KP, Qiu X, La Delfa A, Harland LT, Fadhel E, Hui A, Perez-Ordonez B, Weinreb I, Liu FF, Waldron J, O'Sullivan B, Goldstein D, Xu W, Huang SH, Liu G.
    Journal: Cancer Epidemiol; 2013 Dec; 37(6):820-9. PubMed ID: 24184275.
    Abstract:
    INTRODUCTION: Human papillomavirus (HPV) is a risk and prognostic factor for oropharyngeal cancer (OPC). Determining whether the incidence of HPV-associated OPC is rising informs health policy. METHODS: HPV status was ascribed using p16 immunohistochemistry in 683/1474 OPC patients identified from the Princess Margaret Hospital's Cancer Registry (from 2000 to 2010). Missing p16 data was estimated using multiple (n=100) imputation (MI) and validated using an independent OPC cohort (n=214). Non-OPC head and neck squamous cell carcinoma (HNSCC) (n=3262) were also used for time-trend comparison. Regression was used to compare HNSCC subsets and time-trends. The c-index was used to measure the predictive ability of MI. RESULTS: The incidence of OPC rose from 23.3% of all HNSCC in 2000 to 31.2% in 2010 (p=0.002). In the subset of OPC tested for p16, there was no change in p16 positivity over time (p=0.9). However, p16 testing became more frequent over time (p<0.0001), but was nonetheless biased, favouring never-smokers [OR 1.87 (95% CI 1.29-2.70)] and tumors of the tonsil [OR 2.30 (1.52-3.47)] or base-of-tongue [OR 1.72 (1.10-2.70)]. These same factors were also associated with p16-positivity [ORs 3.22 (1.27-8.16), 7.26 (3.50-15.1), 5.83 (2.70-12.7), respectively]. Following MI and normalization, the proportion of OPC that was p16-associated rose from 39.8% in 2000 to 65.0% in 2010, p=0.002, fully explaining the rise in OPC in our patient population. CONCLUSION: The rise in HNSCC referrals seen from 2000 to 2010 at our institution was driven primarily by p16-associated OPC. MI was necessary to derive reliable conclusions when cases with missing data are considerable.
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